The introprog-exercises from numeconcopenhagen

Persistent error in PS3

In the jupyter notebook

IntroProg-exercises/PS3/problem_set_3.ipynb

Lines 310 to 338 in 93a6867

 { 

 "cell_type": "code", 

 "execution_count": null, 

 "metadata": {}, 

 "outputs": [], 

 "source": [ 

 "def assets_row_by_row(x,R,Y):\n", 

 " return 0 # wrong line\n", 

 " \n", 

 "def assets_all_at_once(income,consumption,R,Y):\n", 

 " return 0 # wrong line\n", 

 "\n", 

 "def assets_adj(assets,R,Y):\n", 

 " # missing lines\n", 

 " pass\n", 

 "\n", 

 "R = 1.2 # return rate\n", 

 "Y = 1 # income\n", 

 "try:\n", 

 " dt['assets_1'] = R*(dt['inc']-dt['con'])+Y\n", 

 " dt['assets_2'] = dt.apply(assets_row_by_row,axis=1,args=(R,Y))\n", 

 " dt['assets_3'] = assets_all_at_once(dt['inc'].values(),dt['con'].values(),R,Y)\n", 

 " dt['assets_4'] = dt['inc']-dt['con']\n", 

 " assets_adj(dt['assets_4'],R,Y)\n", 

 "except:\n", 

 " print('failed')\n", 

 "dt.head() " 

 ] 

 },

In the solution

IntroProg-exercises/PS3/A10.py

Lines 1 to 19 in 93a6867

 def assets_row_by_row(x,R,Y): 

 return R*(x['inc']-x['con'])+Y 

 def assets_all_at_once(income,consumption,R,Y): 

 return R*(income-consumption)+Y 

 def assets_adj(assets,R,Y): 

 assets *= R 

 assets += Y 

 R = 1.2 # return rate 

 Y = 1 # income 

 dt_true['assets_1'] = R*(dt_true['inc']-dt_true['con'])+Y 

 dt_true['assets_2'] = dt_true.apply(assets_row_by_row,axis=1,args=(R,Y)) 

 dt_true['assets_3'] = assets_all_at_once(dt_true['inc'].values,dt_true['con'].values,R,Y) 

 dt_true['assets_4'] = dt_true['inc']-dt_true['con'] 

 assets_adj(dt_true['assets_4'],R,Y) 

 dt_true.head()

Even if you copy the defined functions in the A10.py-program, the notebook will throw an error - if you run the code as follows,

Code

def assets_row_by_row(x,R,Y):
    return R*(x['inc']-x['con'])+Y
    
def assets_all_at_once(income,consumption,R,Y):
    return R*(income-consumption)+Y

def assets_adj(assets,R,Y):
    assets *= R
    assets += Y


R = 1.2 # return rate
Y = 1 # income
try:
    dt['assets_1'] = R*(dt['inc']-dt['con'])+Y
    dt['assets_2'] = dt.apply(assets_row_by_row,axis=1,args=(R,Y))
    dt['assets_3'] = assets_all_at_once(dt['inc'].values(),dt['con'].values(),R,Y)
    dt['assets_4'] = dt['inc']-dt['con']
    assets_adj(dt['assets_4'],R,Y)
except Exception as e:
    print(f'An error occurred: {e}')

dt.head()

Error

An error occurred: 'numpy.ndarray' object is not callable

Why?

The subtle difference lies, I believe, in the use of df.values and df.values(), the latter uses numpy the former is pandas-syntax. Is this intended, so we are aware of this difference or is it a bug?

It took a while to debug, and now I am curious.

Typo

IntroProg-exercises/PS0/problem set 0.lyx

Lines 602 to 605 in 58313b8

 \begin_layout Plain Layout 

 print('just right) 

 \end_layout

Gives a syntax-error. Should be,

 \begin_layout Plain Layout 
 	print('just right') 
 \end_layout

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Persistent error in PS3

In the jupyter notebook

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Error

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Typo

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	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": [
	"def assets_row_by_row(x,R,Y):\n",
	" return 0 # wrong line\n",
	" \n",
	"def assets_all_at_once(income,consumption,R,Y):\n",
	" return 0 # wrong line\n",
	"\n",
	"def assets_adj(assets,R,Y):\n",
	" # missing lines\n",
	" pass\n",
	"\n",
	"R = 1.2 # return rate\n",
	"Y = 1 # income\n",
	"try:\n",
	" dt['assets_1'] = R*(dt['inc']-dt['con'])+Y\n",
	" dt['assets_2'] = dt.apply(assets_row_by_row,axis=1,args=(R,Y))\n",
	" dt['assets_3'] = assets_all_at_once(dt['inc'].values(),dt['con'].values(),R,Y)\n",
	" dt['assets_4'] = dt['inc']-dt['con']\n",
	" assets_adj(dt['assets_4'],R,Y)\n",
	"except:\n",
	" print('failed')\n",
	"dt.head() "
	]
	},

	def assets_row_by_row(x,R,Y):
	return R*(x['inc']-x['con'])+Y

	def assets_all_at_once(income,consumption,R,Y):
	return R*(income-consumption)+Y

	def assets_adj(assets,R,Y):
	assets *= R
	assets += Y

	R = 1.2 # return rate
	Y = 1 # income
	dt_true['assets_1'] = R*(dt_true['inc']-dt_true['con'])+Y
	dt_true['assets_2'] = dt_true.apply(assets_row_by_row,axis=1,args=(R,Y))
	dt_true['assets_3'] = assets_all_at_once(dt_true['inc'].values,dt_true['con'].values,R,Y)
	dt_true['assets_4'] = dt_true['inc']-dt_true['con']
	assets_adj(dt_true['assets_4'],R,Y)

	dt_true.head()